Automatic generation of concept map from text
| dc.contributor.author | Hamza, Benkhelil | |
| dc.date.accessioned | 2018-02-01T10:44:53Z | |
| dc.date.available | 2018-02-01T10:44:53Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Concept maps are graphical tools for organizing and representing knowledge. Many educators and researchers have exploited CMs in a number of ways, including evaluation or assessment tools, knowledge management and cooperative meaningful learning tools in education. The construction of concept maps is typically done either manually or automatically. The term Concept Map Mining (CMM) is used to refer to the automatic generation of Concept Map from document. This thesis gives an overview of concept map Mining and their different approaches, then we introduce our method for automatic generation of concept map from a text. The proposed method uses an unsupervised algorithm and NLP tools. | en_US |
| dc.identifier.uri | http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/2139 | |
| dc.language.iso | en | en_US |
| dc.publisher | FACULTY: Mathematics and Computer Science - UNIVERSITY OF MOHAMED BOUDIAF - M’SILA | en_US |
| dc.subject | Concept maps, Concept Map Mining (CMM), unsupervised algorithm, NLP tools | en_US |
| dc.title | Automatic generation of concept map from text | en_US |
| dc.type | Thesis | en_US |